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Ling Zhang

Missouri S&T EMC Laboratory, Rolla, MO, USA

Fast PDN Impedance Prediction Using Deep Learning


Jun 20, 2021
Ling Zhang, Jack Juang, Zurab Kiguradze, Bo Pu, Shuai Jin, Songping Wu, Zhiping Yang, Chulsoon Hwang


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Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages


Mar 23, 2021
Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal

* This paper has been accepted by ACM Transactions on Internet Technology 

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3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management


Dec 08, 2020
Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang


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DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging


Aug 26, 2020
Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang

* 11 pages, 3 figures, Early accepted to Medical Image Computing and Computer Assisted Interventions Conference (MICCAI) 2020 

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Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans


Aug 24, 2020
Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu

* 10 pages, 2 figures; MICCAI 2020 

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Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation


Jun 10, 2020
Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu

* Published at MICCAI 2019 
* 9 pages, 1 figures 

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Self-supervised Modal and View Invariant Feature Learning


May 28, 2020
Longlong Jing, Yucheng Chen, Ling Zhang, Mingyi He, Yingli Tian


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Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences


Apr 13, 2020
Longlong Jing, Yucheng Chen, Ling Zhang, Mingyi He, Yingli Tian


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RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal


Dec 24, 2019
Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao

* The paper was accepted to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'2020) 

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Weakly supervised segmentation from extreme points


Oct 02, 2019
Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu

* Accepted at the MICCAI Workshop for Large-scale Annotation of Biomedical data and Expert Label Synthesis, Shenzen, China, 2019 

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ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal


Aug 04, 2019
Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao

* The paper was accepted to the IEEE / CVF International Conference on Computer Vision (ICCV) 2019 

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Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network


Jul 08, 2019
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu


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When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation


Jun 12, 2019
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu

* 9 pages, 3 figure 

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Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural Network


May 03, 2019
Ling Zhang, Zhigang Zhu


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Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data


Feb 23, 2019
Ling Zhang, Le Lu, Robert M. Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao

* 10 pages, 6 figures 

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Solving Poisson's Equation using Deep Learning in Particle Simulation of PN Junction


Oct 25, 2018
Zhongyang Zhang, Ling Zhang, Ze Sun, Nicholas Erickson, Ryan From, Jun Fan


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Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks


Oct 14, 2018
Haoming Lin, Yuyang Hu, Siping Chen, Jianhua Yao, Ling Zhang

* 7 pages, 4 figures 

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Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database


Jul 28, 2018
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam Harrison, Mohammadhad Bagheri, Ronald Summers

* Accepted by CVPR2018. DeepLesion url added 

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DeepPap: Deep Convolutional Networks for Cervical Cell Classification


Jan 25, 2018
Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao

* IEEE Journal of Biomedical and Health Informatics, 19 May 2017, Volume: 21 Issue: 6 

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Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans


Jan 25, 2018
Zhihui Guo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao

* 4 pages,3 figures 

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Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation


Jan 25, 2018
Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao

* 4 pages, 3 figures 

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Convolutional Invasion and Expansion Networks for Tumor Growth Prediction


Jan 25, 2018
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao

* IEEE Transactions on Medical Imaging, 15 November 2017, Volume:PP Issue: 99 

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Personalized Pancreatic Tumor Growth Prediction via Group Learning


Jun 01, 2017
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao


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